
High Impact Senior Manager, Data Quality Assurance
1 day ago
About McDonald's:
We are a global leader in the food industry with operations in over 100 countries. Our company has offices that serve as innovation and operations hubs designed to expand our talent base and expertise.
Position Summary:
This role will lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. The successful candidate will drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
- Design and implement end-to-end testing frameworks for data pipelines, ETL/ELT processes, and analytics platforms
- Ensure test coverage across ETL/ELT, data transformation, lineage, and consumption layers
- Develop integrated testing strategies spanning multiple systems, APIs, and data sources
- Establish testing standards, methodologies, and best practices across the organization
Data Engineering Testing:
- Create comprehensive test suites for data ingestion, transformation, and output validation
- Design data quality checks, schema validation, and performance testing for large-scale datasets
- Implement automated testing for streaming and batch data processing workflows
- Validate data integrity across multiple environments and systems against business rules
Cross-Functional Coordination:
- Collaborate with data engineers, software developers, product managers, and DevOps teams
- Coordinate testing activities across multiple product streams and release cycles
- Manage testing dependencies and critical path items in complex delivery timelines
Quality Assurance & Process Improvement:
- Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
- Lead root cause analysis for production issues and testing gaps
Technical Leadership:
- Mentor junior QA engineers and promote testing best practices
- Evaluate and implement new testing tools and technologies
- Design scalable testing infrastructure and CI/CD integration
Key Responsibilities Include:
- Bachelor’s degree in Computer Science or related field
- At least 10 years of experience in software testing with 3+ years in leadership roles
- 8+ years of experience testing data engineering systems, ETL pipelines, or analytics platforms
- Proven track record with complex, multi-system integration testing
- Strong SQL experience with major databases (Redshift, Bigquery, etc.)
- Experience with cloud platforms (AWS, GCP) and their data services
- Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
- Proficiency in data warehousing, data architecture, reporting, and analytics applications
- Scripting languages (Python, Java, bash) for test automation
- API testing tools and methodologies
- CI/CD/CT tools and practices
- Excellent verbal and written communication abilities
- Experience managing multiple priorities and competing deadlines
Work location: Hyderabad, India
Work pattern: Full time role
Work mode: Hybrid
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